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ELECTRICAL ENGINEER - FULLY REMOTE | UPTO $85/HR

mercor
Part-timemid€70-85/hour

Job description

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Computational Electrical Engineering & RF/Circuit Design Expert Type: Contract Compensation: $70–$85/hour Location: Remote Commitment: 15–20 hours/week Role Responsibilities • Design challenging computational problems to evaluate AI capabilities in solving scientific tasks. • Develop problems requiring the use of specialized scientific software like scikit-rf and ngspice . • Test and refine problems against state-of-the-art AI models to achieve target difficulty. • Collaborate with research teams to improve AI model performance and training data quality. • Work independently and asynchronously to meet deadlines and refine problem designs. Qualifications Must-Have • Graduate-level training in a relevant STEM field ( MS , PhD , or equivalent research experience). • Proven proficiency with scientific software libraries like scikit-rf or ngspice . • Strong Python skills for writing problem setups and solution validators. • Ability to work in a Linux/terminal environment with remote compute sandboxes. • Available for at least 15–20 hours per week . Preferred • Experience across multiple listed domains or tools. • Familiarity with benchmark or evaluation design. • Background in scientific teaching or exam/problem-set design. • Experience with computational reproducibility and containerized environments. Application Process (Takes 20–30 mins to complete) • Upload resume • AI interview based on your resume • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Skills

Pythonscikit-rfngspiceLinuxterminalremote compute sandboxescontainerized environmentscomputational reproducibility